基于卫星遥感监测的石家庄市近地面PM2.5浓度时空动态分析

为了掌握石家庄市区域PM_2.5浓度的空间分布情况及其时间变化规律,更好地向大气污染治理及环境行政执法部门提供技术支持,利用卫星遥感数据开展了区域颗粒物浓度时空动态分析研究。基于Himawari-8卫星遥感数据,通过建立时空回归模型反演PM_2.5浓度,并对所得到的石家庄市2019年近地面PM_2.5的浓度,进行了时间和空间的动态分析。结果表明：1）从时间上来看,2019年PM_2.5月度变化基本呈两边高中间低的态势,取暖季月均浓度明显高于其他月份,且相对于2018年监测浓度有所上升;2）从空间来看,2019 年PM_2.5平均浓度呈现西低东高的形势,且东部各个县区高浓度“热点”聚集程度明显高于西部县区,但热点聚集性从第一季度到第四季度呈现出逐渐转弱的现象;3）遥感监测与地面监测的PM_2.5浓度相关性系数在0.7以上,验证了基于遥感反演进行PM_2.5浓度监测的可行性。因此,采用遥感手段对大气环境进行监测,可以全面获取区域大气环境的时空分布特征,并能够协助环保人员有针对性地核查与防范污染事件,具有较大的应用潜力。

Spatial-temporal dynamic analysis of PM2.5 concentration near ground in Shijiazhuang based on satellite remote sensing monitoring

In order to master the spatial distribution and temporal variation of PM[BF]2.5[BFQ] concentration in Shijiazhuang and provide technical support for air pollution control and environmental administrative law enforcement departments,the spatial and temporal dynamic analysis of regional particulate concentration was carried out by using satellite remote sensing data.Based on Himawari-8 satellite remote sensing data,a spatial-temporal regression model was established to retrieve PM[BF]2.5[BFQ] concentration,and the spatial-temporal dynamic analysis of the obtained PM[BF]2.5[BFQ] concentration near the ground in Shijiazhuang City in 2019 was carried out.The results show that:1) from the perspective of time,the monthly variation of PM[BF]2.5[BFQ] in 2019 shows a trend of high on both sides and low in the middle.The monthly average concentration of PM[BF]2.5[BFQ] in heating season is significantly higher than that in other months,and the monitored concentration has increased compared with that in 2018;2) from the perspective of space,the average PM[BF]2.5[BFQ] concentration in 2019 is low in the west and high in the east,and the aggregation level of concentrated [BF]"[BFQ]hot spots" in the eastern counties is significantly higher than that in the western counties,but the aggregation of hot spots gradually weakens from the first quarter to the fourth quarter;3) the correlation coefficient of PM[BF]2.5[BFQ] concentration between remote sensing monitoring and ground monitoring is above [BF]0.7[BFQ],which verifies the feasibility of PM[BF]2.5[BFQ] concentration monitoring based on remote sensing inversion.Therefore,using remote sensing to monitor the atmospheric environment can comprehensively obtain the spatial and temporal distribution characteristics of regional atmospheric environment and assist environmental protection personnel to check and prevent pollution events in a targeted manner,which has strong application potential.[HQ]